1 code implementation • 10 Sep 2021 • Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
Recently, many deep learning methods have shown great success in providing promising solutions to many event-based problems, such as optical flow estimation.
no code implementations • 29 Jul 2021 • Tianxiao Gao, Wu Wei, Zhongbin Cai, Zhun Fan, Shane Xie, Xinmei Wang, Qiuda Yu
In this paper, we propose a network injected with contextual information (CI-Net) to solve the problem.
Ranked #33 on Semantic Segmentation on SUN-RGBD (using extra training data)
no code implementations • 25 Sep 2019 • Tianxiao Gao, Ruiqin Xiong, Zhenhua Liu, Siwei Ma, Feng Wu, Tiejun Huang, Wen Gao
One way to compress these heavy models is knowledge transfer (KT), in which a light student network is trained through absorbing the knowledge from a powerful teacher network.